Agent Systems Engineer - AI Model Routing Startup

RnB Consultancy
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$180,000.0 - $300,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Systems Engineering Routing Node.Js TypeScript Network Routers

Requirements

Systems Engineering, Artificial Intelligence (AI), Network Routers, Startup, Startup, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Network Routers, Security Monitoring, Technical Recruiting, * Strong software engineering fundamentals and a track record of shipping production software (leaning on AI-assisted coding without understanding the infrastructure won’t fit)

  • At least 1 year of hands-on work on AI or agent systems
  • Startup-level ownership and pace (mostly big-company experience won’t fit)
  • Working from the San Francisco office five days a week, 9-9-6, sometimes including weekends, and happy to go on site at customers anywhere in the world

Bonus points

  • TypeScript or Node.js, integrations, evals, agent memory or runtimes
  • Software you deployed inside customer environments
  • Founder experience or a deep area you can teach; non-traditional paths are welcome

About the company

You’ve shipped AI agents to production and made them reliable. Own the whole agent lifecycle at a fast-growing AI startup.

A seed-stage AI startup in San Francisco helps companies control their own AI: a model router across hundreds of models, hosted anywhere, plus AI agents that carry out real business tasks, like paying an invoice. Around 100 customers worldwide use it. You’ll own a wide part of how agents work: how they run, remember and use tools and models, how they connect to other systems, the infrastructure underneath and the product on top, always with reliability, monitoring and security in mind.

They’re hiring 3 engineers.

What you’ll own

  • Agent execution, memory, skills and tool use
  • Integrations, infrastructure and the interfaces customers use
  • Reliability: evals, observability and failure handling
  • On-site work with customers around the world, sometimes for a week

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